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Data Engineer

  • Data Engineer job type Posted on: Oct 30, 2026
  • Data Engineer experience level Lorven technologies
  • Data Engineer employment type Newport, Rhode Island
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

Newport Rhode Island United States

Remote :

No

Jobcon Logo Job Description :

Job Title : Data Engineer

Location : Rhode Island

Job Description:

  • Bachelor's degree or Master's Degree in Computer science, or a related field
  • 8+ years of experience in Data Engineering, ETL, and Enterprise Data Warehousing.
  • Strong expertise in T-SQL, complex SQL queries, and stored procedures.
  • Experience supporting and maintaining large-scale production data pipelines.
  • Expertise in SQL query optimization and database performance tuning.
  • Strong experience in ETL development, data ingestion, and transformation.
  • Hands-on experience in production troubleshooting and Root Cause Analysis (RCA).
  • Experience implementing data quality checks, validation, and reconciliation processes.
  • Knowledge of data lineage, data models, batch processing, and data integration.
  • Experience with AWS, Amazon Redshift, and scheduling platforms is preferred.
  • Financial Services, Risk, AML, Compliance, and Regulatory Reporting experience is an advantage.

Jobcon Logo Position Details

Posted:

Oct 30, 2026

Reference Number:

72477-10367

Employment:

Full-time

City:

Newport

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title : Data Engineer

Location : Rhode Island

Job Description:

  • Bachelor's degree or Master's Degree in Computer science, or a related field
  • 8+ years of experience in Data Engineering, ETL, and Enterprise Data Warehousing.
  • Strong expertise in T-SQL, complex SQL queries, and stored procedures.
  • Experience supporting and maintaining large-scale production data pipelines.
  • Expertise in SQL query optimization and database performance tuning.
  • Strong experience in ETL development, data ingestion, and transformation.
  • Hands-on experience in production troubleshooting and Root Cause Analysis (RCA).
  • Experience implementing data quality checks, validation, and reconciliation processes.
  • Knowledge of data lineage, data models, batch processing, and data integration.
  • Experience with AWS, Amazon Redshift, and scheduling platforms is preferred.
  • Financial Services, Risk, AML, Compliance, and Regulatory Reporting experience is an advantage.

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